2026 AHA科学声明:急性心脏病住院患者的营养不良和恶病质
DISTINCTIONS BETWEEN MALNUTRITION AND CACHEXIA, SARCOPENIA, AND FRAILTY
Malnutrition, cachexia, sarcopenia, and frailty are phenotypically distinct but interconnected conditions with interrelated pathophysiological processes that lead to different magnitudes of wasting and susceptibility to adverse outcomes.$^{81-83}$ Sarcopenia is defined as the age-related loss of muscle mass and function, which can be exacerbated by chronic conditions, including CVD and potentially malnutrition. Frailty is a state of increased vulnerability
that further complicates clinical conditions, leading to elevated risk of adverse outcomes. Cachexia defined as a chronic catabolic syndrome characterized by unintentional edema-free weight loss, associated with anorexia, inflammation, and abnormal biochemistry, in the setting of an underlying disease.$^{84,85}$ The unintentional weight loss of cachexia is predominantly loss of muscle mass with or without loss of fat; however, not all individuals with sarcopenia are cachectic.$^{86}$ In fact, sarcopenic obesity, when lean mass wasting and fat mass expansion occur concurrently, is increasingly recognized and may incur a distinct phenotype of low physical functioning and higher mortality rates, especially in older adults with HF.$^{87,88}$
CLIMUAL STATEMENTS AND EMBULINES
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||Malnutrition in the context of acute illness or injury|Malnutrition in the context of chronic illness|Malnutrition in context of social/environmental circumstances (starvation)|||| |---|---|---|---|---|---|---| ||Moderate: protein-calorie malnutrition (E44.0)|Severe protein-calorie malnutrition (E43)|Moderate protein-calorie malnutrition (E44.0)|Severe protein-calorie malnutrition (E43)|Moderate protein-calorie malnutrition (E43)|Moderate protein-calorie malnutrition (E44.0)| |Protein-calorie malnutrition can occur at any BMI||||||| |Clinical characteristics: include all that apply||||||| |Energy intake: The clinician may obtain or review the food and nutrition history, estimate optimum energy needs, compare them with estimates of energy consumed, and report inadequate intake as a percentage of estimated energy requirements over time|<75% of estimated energy requirement for >7 d|≤50% of estimated energy requirement for ≥5 d|<75% of estimated energy requirement for ≥1 mo|<75% of estimated energy requirement for ≥1 mo|<75% of estimated energy requirement for ≥3 mo|<50% of estimated energy requirement for ≥1 mo| |Weight loss:|% Time|% Time|% Time|% Time|% Time|%| |Evaluate weight loss in light of other clinical findings, including hydration status. Weight change over time is reported as a percentage of weight lost (or weight change) from baseline. Equation: original weight-current weight/original weight $100=%$ weight change|1-2 1 wk|>2 1 wk|5 1 mo|>5 1 mo|>5 1 mo|>5 1 mo| |Evaluate weight loss in light of other clinical findings, including hydration status. Weight change over time is reported as a percentage of weight lost (or weight change) from baseline. Equation: original weight-current weight/original weight $100=%$ weight change|5 1 mo|>5 1 mo|7.5 3 mo|>7.5 3 mo|>7.5 3 mo|>7.5 3 mo| |Evaluate weight loss in light of other clinical findings, including hydration status. Weight change over time is reported as a percentage of weight lost (or weight change) from baseline. Equation: original weight-current weight/original weight $100=%$ weight change|7.5 3 mo|>7.5 3 mo|10 6 mo|>10 6 mo|>10 6 mo|>10 6 mo| |Muscle mass-physical assessment (all noted):|Mild depletion|Moderate depletion|Mild depletion|Severe depletion|Mild depletion|Severe depletion| |Muscle loss (eg, wasting of the temples (temporalis muscle), clavicles (pectoralis and deltoids), shoulders (deltoids), interosseous muscles, scapula (latissimus dorsi, trapezius, deltoids), thigh (quadriceps), and calf (gastrocnemius)|Mild depletion|Moderate depletion|Mild depletion|Severe depletion|Mild depletion|Severe depletion| |Body fat-physical assessment (all noted):|Mild depletion|Moderate depletion|Mild depletion|Severe depletion|Mild depletion|Severe depletion| |Loss of subcutaneous fat (eg, orbital, triceps, overlying ribs)||||||| |Fluid accumulation-physical assessment:|Mild|Moderate-severe|Mild|Severe|Mild|Severe| |Generalized or localized fluid accumulation evident on examination (extremities, vulvar/scotal, or ascites)||||||| |Functional assessment: Handgrip strength: Consult normative standards supplied by the manufacturer of the measurement device|NA|Measurably reduced|NA|Measurably reduced|NA|Measurably reduced|
A minimum of 2 of the 6 characteristics above is recommended for diagnosis of either severe or moderate protein-calorie malnutrition. Usual weight should be obtained to determine the percentage and to interpret the significance of weight loss. International Classification of Diseases, 10th Revision code displayed under diagnostic term. The National Center for Health Statistics defines chronic as a disease or condition lasting ≥3 months.
ASPEN indicates American Society for Parenteral and Enteral Nutrition; BMI, body mass index; and NA, not applicable.
Source: Academy of Nutrition and Dietetics and ASPEN consensus characteristics of adult malnutrition.$^{1}$
Criteria for cachexia have variously ranged from unintentional edema-free body weight loss ≥7.5% of previous normal weight over the prior 6 months$^{89}$ to ≥5% body weight loss over ≤12 months or absolute BMI <20 kg/m$^{2}$ accompanied by 3 of 5 criteria: decreased muscle strength, fatigue, anorexia, low fat-free mass index, or abnormal biochemistry.$^{84}$ A practical consensus definition of cardiac cachexia has been proposed as “a catabolic syndrome in patients with symptomatic HF characterized by muscle mass loss (by physical exam or imaging methods) and unintentional edema-free weight loss (≥5% pre-HF body weight), in which dietary macronutrient intake may be sufficient or insufficient.”$^{90}$ Aging and chronic diseases such as CVD are 2 principal risk factors for the wasting continuum, and these conditions adversely influence outcomes for older adults with CVD at greater risk of
disability and mortality.$^{91,92}$ Recognizing and differentiating between malnutrition, sarcopenia, and cachexia is clinically important because these conditions differ in their scope for reversibility and appropriate interventions. For example, malnutrition, especially when contributed to by inadequate intake due to dietary restrictions, frequent fasting for procedures, or food insecurity, may be addressed by initiatives that focus on food access and education, whereas the current pathophysiological paradigm supports underlying cardiac disease treatment as the only intervention that substantially reverses cardiac cachexia.$^{90}$ If weight loss or muscle wasting persists despite adequate protein calorie provision, cachexia is likely the more appropriate diagnosis. If the weight, fat, or muscle loss can be halted by improving nutrient intake and absorption, malnutrition is likely the dominant diagnosis.
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PATHOPHYSIOLOGY OF MALNUTRITION AND CACHEXIA IN INPATIENTS WITH CARDIAC CONDITIONS
Patients with malnutrition typically have inadequate intake of the macronutrients, including protein, carbohydrates, and fats, needed to support energy requirements, as well as the micronutrients, including vitamins and minerals, that are required for physiological processes, enzymatic functions, and immunity. Nutritional insufficiency refers to nutrient intake below the recommended or beneficial range; deficiency describes a more severe intake decrement that results in a disease state (eg, clinical syndromes from vitamin deficiency). In settings of insufficient protein intake, homeostatic mechanisms in skeletal muscle will diminish amino acid turnover such that the body limits nitrogen excretion in the urine. Thus, the body conserves all available protein substrate for essential functions. Chronic negative nitrogen balance leads to progressive erosion of lean body mass, impaired immune function, delayed wound healing, and overall deterioration in nutritional status.$^{93}$ Conversely, cardiac cachexia is characterized by a catabolic metabolism and accelerated turnover of protein stores, degrading fat-free mass and leading to elevated urine nitrogen excretion. The pathophysiological basis of this catabolic state is thought to stem from complex interplay between the neurohormonal dysregulation of the advanced HF (particularly HF with reduced ejection fraction) syndrome, chronic inflammation, myocardial substrate demands of the failing heart, abnormalities of mesenteric perfusion, and venous pressures and may be exacerbated by inadequate macronutrient intake in relation to the HF symptoms of anorexia and early satiety.$^{90}$
Risk factors for malnutrition in cardiac inpatients include advanced age, poor appetite, reduced dietary intake, and increased metabolic demands due to heart disease. These factors, along with comorbidities such as dental disease, chronic kidney disease (CKD), and dementia, significantly increase the risk of impaired dietary intake and nutrient absorption. Specifically in HF, a low-flow or congestive state impairs nutrient delivery and absorption, with associated decreased appetite, gastrointestinal dysfunction, and malnutrition.$^{94}$ In addition, cardiac medications such as digoxin, amiodarone, and mexiletine can lead to nausea and taste changes that exacerbate inadequate calorie intake. Furthermore, strict dietary counseling on sodium, saturated fat, and calories, as well as dietary patterns recommended for patients receiving warfarin anticoagulation or being managed for advanced kidney disease or diabetes, can lead to dietary confusion and inadequate protein-calorie intake. Repeated inpatient arrangements for nil per os (NPO) before procedures can further exacerbate poor dietary intake. Last, the limited meal options on hospital food menus are
frequently poor in taste and misaligned with cultural expectations of the patient population.
OPPORTUNITIES FOR NUTRITIONAL INTERVENTIONS IN THE INPATIENT AND POSTDISCHARGE SETTINGS
The Dietary Guidelines for Americans and American Heart Association Dietary Guidance provide a foundation for eating to promote cardiovascular health, emphasizing the consumption of nutrient-dense foods.$^{95}$ For patients with established cardiac conditions, the DASH (Dietary Approaches to Stop Hypertension), Mediterranean, and plant-based dietary patterns are broadly thought to be beneficial, although the evidence base in established disease is weaker than for primary CVD prevention. The DASH diet focuses on fruits, vegetables, whole grains, and lean proteins, promoting low sodium intake and rich potassium, magnesium, and calcium sources to manage blood pressure. The Mediterranean diet emphasizes healthy fats from olive oil, nuts, and fish, combined with a high intake of fruits, vegetables, and whole grains. Plant-based diets prioritize minimally processed plant foods, which are naturally low in unhealthy fats and high in fiber, vitamins, and minerals. It is also strongly recommended that patients avoid trans fats found in partially hydrogenated oils, and processed foods high in sodium, added sugars, and saturated fats, although limits on each of these components vary across conditions and guidelines.$^{95,96}$
SODIUM-HF (Study of Dietary Intervention Under 100 mmol in Heart Failure) provided new insights into sodium intake for patients with HF (any ejection fraction). This study demonstrated that a sodium-restricted diet (goal <1500 mg/d) did not significantly reduce the composite end point of cardiovascular-related admission to hospital, cardiovascular-related emergency department visit, or all-cause death compared with a usual-dodium diet (average intake, 2073 mg/d at 12 months).$^{97}$ Although HF guidance still favors avoidance of excessive sodium in those with congestive symptoms, the most stringent American Heart Association sodium guidance is for individuals with hypertension.$^{95}$ However, the focus on restrictive dietary counseling across the cardiometabolic conditions, whether for sodium in populations with HF, sugars for those with diabetes, saturated fats for those with coronary artery disease, or caloric restriction for those with obesity, may prompt excessively restrictive eating patterns that risk exacerbating micronutrient deficiencies and inadequacy of protein-calorie intake. To date, improvements in dietary quality rather than restrictive dietary counseling have shown benefits in primary and secondary CVD prevention,$^{98,99}$ with restrictive approaches to HF sodium or fluid intake not yielding clear outcome benefits$^{97,100}$ and small studies suggesting
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associations between restrictive diets and undernutrition.$^{101,102}$ Thus, there has been a recent trend toward more permissive dietary education for patients with CVD, with the emphasis of pursuing balanced, nutrient-dense food patterns, in the hope of promoting a more sustainable and healthful approach. Dietary counseling should always be personalized to the specific conditions and meet patients' caloric and micronutrient requirements, and such an ethos may help prevent malnutrition development, although supportive evidence is minimal.$^{103}$
NUTRITIONAL SUPPORT FOR CARDIAC INPATIENTS
The EFFORT study (Effect of Early Nutritional Support on Frailty, Functional Outcomes and Recovery of Malnourished Medical Inpatients) highlighted the potential value of individualized nutritional support provided by registered dietitian nutritionists (RDNs) for hospitalized patients.$^{104}$ The EFFORT study was a large, multi-center, randomized controlled trial conducted in 8 Swiss hospitals to evaluate whether individualized nutritional support improves outcomes in hospitalized adults with elevated malnutrition risk, as indicated by a Nutritional Risk Screening 2002 score ≥3 and anticipated length of stay ≥4 days.$^{104}$ Participants were randomized to receive either RDN protocol-guided individualized nutritional support (targeting energy, protein, and micronutrient goals) or standard hospital food with no dietary counseling. Individualized nutritional support significantly reduced the risk of adverse clinical outcomes (composite of mortality, intensive care unit [ICU] admission, readmission, major complications, and functional decline) at 30 days (adjusted odds ratio, 0.79 [95% CI, 0.64–0.97]; P=0.023) and reduced 30-day mortality (adjusted odds ratio, 0.65 [95% CI, 0.47–0.91]; P=0.011) compared with standard care. A post hoc analysis of participants with chronic HF demonstrated that the group receiving RDN-led deployment of tailored nutritional interventions experienced lower 30-day mortality (odds ratio, 0.44 [95% CI, 0.26-0.75]; P=0.002), with a particularly marked effect among patients with highest risk as per the Nutritional Risk Screening tool.$^{105}$ The results underscore the potential benefits of personalized nutritional plans during hospitalizations, although this trial was not designed specifically for patients with CVDs and thus a future clinical trial of a cardiac-specific inpatient nutritional intervention in patients at high malnutrition risk would be important to define the efficacy of this short-term inpatient approach.
Micronutrient insufficiencies, particularly water-soluble vitamin B₃ (thiamine) deficiency in those receiving high-dose loop diuretics, can become prevalent in cardiac inpatients. Inadequate micronutrient intake has been associated with higher mortality and cardiovascular
events in patients with HF.$^{106,107}$ It remains controversial as to whether thiamine deficiency can exacerbate HF symptoms, and supplementation studies suggesting improvements in cardiac function or symptom status are small and of poor quality.$^{108-110}$ Vitamin E, folate, or selenium supplementation has minimal evidence as interventions to improve cardiac stability.$^{111}$ Coenzyme Q10 supplementation has limited clinical trial support in patients with HF but has not been routinely adopted.$^{112}$ Laboratory assessment and supplementation of magnesium and potassium is commonly performed, especially for inpatients undergoing diuresis, but the value of measuring and repleting other micronutrients does not have evidence as standard of care for hospitalized patients with CVD.
There are several methods for estimating patients' energy needs during an acute cardiac illness, including indirect calorimetry with a metabolic cart and predictive equations. The Academy of Nutrition and Dietetics recommends indirect calorimetry as the most accurate and ideal way to assess an individual's resting metabolic rate. Indirect calorimetry is a noninvasive method used to estimate energy expenditure through measurement of oxygen consumption (Vo₂) and carbon dioxide production (VoCo₂). The ratio of VoCo₂ to Vo₂ at the cellular level is the respiratory quotient; because measurement of the respiratory quotient is not easily achieved, an indirect measurement is obtained as the respiratory exchange ratio, which reflects the relative utilization of carbohydrates and føts for energy. An respiratory exchange ratio of 0.7 suggests predominant fat oxidation, whereas 1.0 indicates carbohydrate utilization. The metabolic cart performs indirect calorimetry by capturing and analyzing inhaled and exhaled gases through a canopy or ventilator circuit. The resting energy expenditure (kilocalories per day) is derived from Vo₂ and Vco₂ with the Weir formula: [3.94×Vco₂ (L/min)] + 1.11×Vco₂ (L/min)] × 1440.$^{113}$ This calculation provides a patient-specific estimate of daily caloric requirements, which can guide tailored nutrition support, particularly in critically ill or metabolically complex individuals. However, indirect calorimetry is resource intensive and not easily available in all settings, leading to predictive equations being the most frequently used clinical method (Supplemental Table).
Dietary protein is generally considered a major determinant of muscle mass,$^{118}$ but it is controversial whether enhanced dietary macronutrient intake can overcome the inflammatory catabolic metabolism of advanced cardiac conditions and achieve net gains in fat-free mass.$^{119,120}$ Protein intake goals for patients with CVD have sparse evidence, but the general adult recommendation for 0.8 g·kg⁻$^{1}$·d⁻$^{1}$ may be insufficient for many inpatients with active cardiac disease. Small protein turnover studies in patients with HF suggest that at least 1.1 g·kg⁻$^{1}$·d⁻$^{1}$ may be beneficial,$^{121}$ which has formed the basis of recommendations for patients with HF who develop muscle
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wasting or are at risk of wasting.$^{111,122}$ There are, however, safety concerns about augmenting dietary protein above the 0.8 g·kg$^{-1}$·d$^{-1}$ range, especially from animal sources, because of concerns of accelerating coronary artery disease and HF incidence, as well as the potential for accelerating CKD progression.$^{123-125}$ In the MDRD study (Modification of Diet in Renal Disease), a dietary protein target of 0.6 g·kg$^{-1}$·d$^{-1}$ appeared to limit progression of CKD, at least during the 6-year follow-up time frame.$^{125,126}$ Therefore, current practice favors that adults with mild CKD (stages 1 and 2) should avoid >1.30 g·kg$^{-1}$·d$^{-1}$ protein intake and patients with CKD stages 3 to 5 not on dialysis are recommended to limit to 0.60 to 0.80 g·kg$^{-1}$·d$^{-1}$.$^{127}$ However, in a more recent observational study, there were neutral or inverse associations between protein intake up to 1.6 g·kg$^{-1}$·d$^{-1}$ and mortality among patients with CKD stages 3 to 5 not on dialysis.$^{128}$ The protein requirements of patients with CKD and a concurrent acute cardiovascular condition are not currently defined. In patients receiving maintenance dialysis, protein requirements may be closer to 1.2 to 1.3 g·kg$^{-1}$·d$^{-1}$⁻$^{112}$ as a result of dialysis-related protein loss and systemic inflammation.
To enhance micronutrient and macronutrient dietary sufficiency in hospitals, practical measures include offering nutrient-dense, heart-healthy meals that adhere to established dietary patterns such as DASH or Mediterrane niets. Macronutrient supplementation is increasingly commercially available through protein-calorie-dense shakes, puddings, or bars and is appropriate for inpatients screening positive for moderate or severe malnutrition. In addition, integrating nutrition education and counseling into the care plan can empower patients to make informed dietary choices after discharge. Another potential threat to adequate macronutrient intake for patients with cardiac conditions is NPO orders, often used in preparation for procedures or because of concern for aspiration risks. Although not specifically studied in this population, proactive efforts for individual patients and system-wide efforts to minimize the duration of NPO status may help to ensure timely nutritional intake. Clear liquids or enteral nutrition (EN) should be considered when full oral intake is not feasible to prevent nutritional deficits and to support recovery.
Engaging patients and stakeholders in the nutritional care process is crucial for success, and availability of inpatient RDNs is essential. Providing culturally appropriate meal options can enhance patient satisfaction and adherence to dietary recommendations. Hospitals should capitalize on the opportunity to educate patients about heart-healthy choices, tailoring advice to align with their cultural preferences and being mindful of previous dietary habits. Involving patients in meal planning and offering practical guidance can foster a supportive environment, encouraging long-term adherence to heart-healthy diets.
NUTRITIONAL SUPPORT FOR CARDIAC CRITICAL CARE INPATIENTS
Nutritional support plays a key role in the cardiac ICU (CICU), where malnutrition is frequently encountered.$^{19}$ Although most of the data come from patients with $HF^{90,130,131}$ the critical ill cardiac patient has several factors to consider, including their limited cardiopulmonary reserve, fluid status, and use of vasopressors, mechanical ventilation (MV), or mechanical circulatory support, as well as frequent exposure to NPO requirements.$^{19}$ Moreover, their higher metabolic demand increases cardiac cachexia and sarcopenia risks, often coexisting with malnutrition and frailty, which negatively affects outcomes.$^{19,90}$
General Principles
Modifying nutritional support according to patient characteristics is paramount. In a clinical trial of inpatients with HF (12.5% receiving inotropes) and malnutrition,$^{132}$ an individualized nutritional approach improved mortality and readmissions. Nutritional support in the CICU should consider timing, route, and caloric, fluid, electrolyte, and protein targets and monitor closely for intestinal intolerance, hyperglycemia, or refeeding syndrome. Refeeding syndrome can occur after prolonged starvation with aggressive oral feeding, EN, or parenteral nutrition (PN), and patients with mental health and substance use disorders, malabsorptive syndromes, surgeries, or vomiting are particularly at risk,$^{133}$ A sudden rise in serum glucose levels stimulates insulin release, which drives intracellular phosphorus and potassium levels, resulting in hypophosphatemia and hypokalemia. Refeeding syndrome can be prevented by initiating 40% to 50% of the caloric goal, followed by slow uptitration of caloric delivery over 3 to 4 days, adequate supplementation of thiamine (eg, 100–200 mg IV daily for 5–7 days plus an oral/enteral multivitamin), and frequent monitoring and supplementation of serum electrolytes, including phosphorus.$^{133}$
Given the limited CICU-specific data, ICU nutritional support principles are generally applied to critically ill cardiac patients.$^{134}$ These include initiation of feeding within 48 hours of hospitalization, preferable through EN (Figure 1).$^{135}$ EN is more cost-effective; has lower rates of infection, overfeeding, and hyperglycemia compared with PN$^{19}$,$^{134}$,$^{135}$; and can decrease mortality,$^{134}$,$^{136}$,$^{137}$ enhance immunity,$^{138}$ and decrease duration of MV and ICU stay. PN is reserved for patients with severe gastrointestinal dysfunction$^{135}$ or to supplement nutrition when EN is con-traindicated or limited by gastric function, in the setting of high pressor doses that preclude adequate intestinal perfusion, or when EN is insufficient to achieve at least 70% of the nutritional targets after the first week.$^{134}$,$^{139}$ PN is occasionally started earlier than 1 week if the patient is severely malnourished. Even in patients who
CLIMICAL STATEMENTS AND GUIDEINES AND GUIDEINES
CLIMAL STATEMENTS AND DEJUÈIENS
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![graph TD\n A1[Transition of Care: Admission] --> A2[CICU]\n A2 --> A3[ (+/- procedures)]\n A3 --> A4[Wards]\n A4 --> A5[Discharge]\n A5 --> A6[Outpatient follow-up]\n](1/parseimages/figure1e282db983c44d31898a58fb6192e6d8_0_3.png) Figure 1. Summary of nutritional strategies for patients with cardiovascular conditions across the domains of care.
CICU indicates cardiac intensive care unit; CONUT, Controlling Nutritional Status; CS, cardiogenic shock; ECPR, extracorporeal cardiopulmonary resuscitation; EN, enteral nutrition; GNRI, Geriatric Nutritional Risk Index; HD, hemodynamic; MNA, Mini Nutritional Assessment; mNUTRIC, modified Nutrition Risk in the Critically III; MUST, Malnutrition Universal Screening Tool; NPQ, nil per os; NRS, Nutritional Risk Screening; PNI, Prognostic Nutritional Index; RD, registered dietitian; SNAQ, Short Nutritional Assessment Questionnaire; and TPN, total parenteral nutrition.
are unable to start full EN by 48 hours, it is reasonable to initiate trophic (low) doses of tube feedings (10–20 mL/h) with hypocaloric targets (50–70% of daily expenditure) that aim to stimulate the gut. The infectious risks associated with PN are not specifically quantified for the CICU population, but a large meta-analysis recently compared the complication rates between recipients of PN and recipients of other nutritional strategies among hospitalized patients. When 37 randomized controlled trials investigating PN compared with any other comparator were evaluated, there was an increased risk of infection at any site (relative risk, 1.23 [95% CI, 1.12–1.36]), but mortality was equivalent between the 2 groups.$^{140}$ Best practices include placing a new central venous catheter for the PN infusion and not accessing it for other infusions or blood draws.
The European Society for Clinical Nutrition and Metabolism$^{135}$ recommends a more aggressive approach with early initiation of EN based on recent evidence$^{139}$ compared with the more conservative approach of ASPEN.$^{134}$ After EN initiation, clinicians should monitor for abdominal distention or discomfort, nausea, vomiting, or diarrhea as signs of bowel ischemia. If this occurs, EN should be stopped or feeding rate reduced because mesenteric ischemia carries a mortality exceeding 75%.$^{141}$ Poor tolerance of EN can be due to higher fat and higher fiber formulations, which are often problematic for critically ill patients. In patients with impaired gastric motility, prokinetic agents may be considered, although they are often limited by QT prolongation. Peptide-based enteral formulas contain proteins that have been hydrolyzed to dipeptides and tripeptides, which can be combined with
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higher medium-chain triglycerides to aid absorption. Alternatively, postpyloric tube feedings may be used,$^{134}$ although this approach has not been specifically evaluated in the CICU. Routine monitoring of gastric residuals is no longer recommended because it does not decrease aspiration risk and can result in underfeeding.$^{134,142-144}$
Protein intake goals during critical illness remain controversial. Although providing a high-protein supplementation may appear logical to overcome sarcopenia, a large trial recruiting mechanically ventilated patients in general ICUs called EFFORT Protein (Effect of Higher Protein Dosing in Critically III Patients With High Nutritional Risk) (9% with CVD) failed to demonstrate benefits of a high-protein EN regimen (≥2.2 g·kg⁻$^{1}$·d⁻$^{1}$) versus ≤1.2 g·kg⁻$^{1}$·d⁻$^{1}$) in time to discharge alive from hospital up to 60 days but demonstrated higher mortality in patients with renal failure.$^{145}$ Similarly, the recent PRE-CISe trial (Protein Provision in Critical Illness) assessed higher enteral protein intake (2.0 g·kg⁻$^{1}$·d⁻$^{1}$) compared with standard enteral protein intake (1.3 g·kg⁻$^{1}$·d⁻$^{1}$) in critically ill patients with MV (one-quarter hospitalized for CVD) and evaluated quality of life at 180 days after randomization. The EQ-5D-5L health utility score was lower in patients in the high-protein group; there was also more gastrointestinal intolerance of the higher protein EN.$^{146}$ Another ICU study (40% with HF, 8% with cardiac arrest) compared high-protein nutrition (target energy, 20 kcal·kg⁻$^{1}$·d⁻$^{1}$); protein, 0.9 g·kg⁻$^{1}$·d⁻$^{1}$; protein, 1.8 g·kg⁻$^{1}$·d⁻$^{1}$) with medium-protein nutrition (target energy, 20 kcal·kg⁻$^{1}$·d⁻$^{1}$; protein, 0.9 g·kg⁻$^{1}$·d⁻$^{1}$) and showed less femoral muscle volume loss by computed tomography in the high-protein group but only during a period of electric muscle stimulation.$^{147}$ At the present time, the most appropriate protein intake approaches for the CICU population are likely those in alignment with evidence-based guidance from ASPEN and the Society of Critical Care Medicine, which favor individualized protein intake targets within the 1.2– to 2.0-gkg⁻$^{1}$·d⁻$^{1}$ range, with cautious consideration of higher intake in select patients with burns, trauma, or obesity.$^{148-150}$
Nutritional Support in HF and Cardiogenic Shock in the CICU
Patients admitted with HF to the CICU often have poor nutrient absorption from mucosal edema, low cardiac output, inflammation, and neurohormonal activation with mesenteric vasoconstriction and microvascular dysfunction.$^{19}$ During cardiogenic shock (CS), these effects are further exacerbated by intestinal venous congestion and pressor use, especially vasopressin, which has a particularly unfavorable impact on mesenteric blood flow.$^{151}$ In these scenarios, the initiation of EN may prompt mesenteric ischemia due to increased metabolic demand of the intestinal mucosa.$^{152,153}$ This can occur despite an observed increase in the mesenteric blood because
arteriovenous oxygen extraction in the gut is often impaired in shock states. Accordingly, it may be reasonable to delay EN in patients with worsening CS, uncontrolled acidosis or hypoxemia, gastrointestinal bleeding, nausea, or vomiting.
Although there are no studies specific to CS, 2 trials have evaluated nutritional support in shock. The first study compared early normocaloric EN with PN in shock, including 20% with CS,$^{154}$ showing no differences in survival. There were more complications associated with EN, including bowel ischemia, nausea, diarrhea, and acute colonic pseudo-obstruction. Another trial compared patients with shock receiving early (<24 hours) low-calorie (6 kcal·kg$^{-1}$·d$^{-1}$), low-protein (0.2–0.4 g/kg) EN with those receiving normocaloric (20–25 kcal·kg$^{-1}$·d$^{-1}$), normoproteic (1.0–1.3 g/kg) EN, including ≈18% with CS.$^{155}$ In this study, calorie and protein restriction did not affect survival but was associated with lower complications, including less bowel ischemia and liver disease, and with shorter ICU stay.$^{156}$
EN is not contrained during low-dose vasopres- s administration, and the benefits of early versus late EN have been seen in patients receiving low to moderate vasopressor dosing.$^{159}$ Standard clinical practice in CS is that EN initiation is reasonable once hemodynamic sta- bility is achieved, when vasopressors are no longer being titrated or used in high doses. Although the dose thresh- old for safe vasopressor use during EN is not definite, the mean and maximal tolerated doses of norepinephrine for safe EN feeding in 1 study were 7 and 12.5 µg/min, respectively.$^{158}$ In addition, the risk of intestinal isch- emia is higher for lactate >2.0$^{159}$ or Sequential Organ Failure Assessment score >11.$^{154}$ This more aggressive approach of early EN initiation aligns with recommen- dations from the European Society for Clinical Nutrition and Metabolism$^{135}$ and differs from ASPEN recommen- dations, which suggest delaying EN until appropriate resuscitation is achieved.$^{134}$
Early EN has also been shown to be safe in a prospective observational study with >200 patients with mechanical circulatory support,$^{160}$ although that study excluded patients with refractory CS. However, advanced mechanical circulatory support such as venoarterial extracorporeal membrane oxygenation carries a significantly higher risk of mesenteric ischemia, as high as 5% to 9%,$^{19,161}$ in contrast to 1% to 2% when vasoactive agents alone are used.$^{158}$ Risk factors for mesenteric ischemia in venoarterial extracorporeal membrane oxygenation have included renal replacement therapy and higher vasopressor dosing but not timing or route of nutritional support.$^{162}$ Although early EN in venoarterial extracorporeal membrane oxygenation is associated with lower mortality,$^{163}$ it may be appropriate to delay EN after venoarterial extracorporeal membrane oxygenation and use hypocaloric targets (<70%–80%) and higher protein administration for the hypercatabolic state to
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optimize survival.$^{164,165}$ Indirect calorimetry may become inaccurate during ECMO support,$^{166,167}$ and entrapment of micronutrients and macronutrients in the ECMO membrane can occur.$^{168}$
An additional CICU consideration is use of intravenous lipid emulsions from propofol, clevidipine, or PN.$^{169}$ Propofol provides 1.1 kcal/mL and clevidipine provides 2 kcal/mL; at high rates, these infusions can deliver significant calories, and tube feeding should be adjusted accordingly. For patients receiving PN, ≈30% of calories should come from lipids.$^{148}$ A small benefit is shown in critical care patients from using alternative intravenous lipid emulsions that contain more omega 3 fatty acids than purely soybean oil lipid emulsion, which is higher in omega 6. Overall, lipid emulsion choice may be dictated by product availability and possible allergies, and lipid emulsion should be stopped if triglycerides are >400 mg/dL.$^{148}$
Last, because respiratory failure is the most common critical care indication for CICU admission,$^{170}$ with many patients requiring MV,$^{171}$ it is important to incorporate insensible losses, metabolic demands, and appropriate perietuation management into their nutritional support. Although there is paucity of data in this area, 1 trial including 30% of patients with HF and 2% with CS demonstrated that EN continuation during MV liberation was associated with shorter extubation times, shorter MV duration, better achievement of caloric goals, lower mortality, and less hypoglycemia without differences in aspiration events compared with EN interruption.$^{155}$ This strategy, however, has not been evaluated in the CICU population.
Nutritional Support in Cardiac Arrest in the CICU
In contrast to patients with HF, BMI and nutritional risk scores do not predict outcomes after cardiac arrest.$^{172,173}$ Prior recommendations suggested delaying EN in patients after cardiac arrest on the presumption of lower metabolic rates and delayed gastric emptying, particularly when targeted temperature management at 32°C to 36°C is used.$^{19}$ However, this practice has changed as the use of targeted temperature management has evolved, and newer data demonstrated no difference in complications with early EN (<48 hours) even during targeted temperature management.$^{19,174-177}$ Moreover, early EN may be associated with potential benefits in neurological outcomes and infectious complications after cardiac arrest,$^{176,178}$ although this association may not apply to patients with refractory cardiac arrest undergoing extracorporeal cardiopulmonary resuscitation. In those cases, delayed EN (>48 hours) may be associated with better neurological outcomes,$^{161}$ but this may simply reflect an immortal time bias.$^{179}$
NUTRITIONAL SUPPORT FOR PATIENTS UNDERGOING CARDIAC PROCEDURES
Cardiac Catheterization and Implantable Electronic Device Procedures
Evidence supporting prolonged preprocedural fasting for cardiac catheterization or implantation of electronic devices is weak, with no difference in gastric pH or volume between fasting 2 to 4 hours versus >4 hours.$^{180,181}$ Recently, small randomized studies of patients undergoing routine cardiac procedures requiring conscious sedation have suggested no differences in adverse procedural events for patients who fasted or did not fast before their procedures. In the investigator-initiated SCOFF trial (Safety and Care of No Fasting Prior to Catheterization Laboratory Procedures), patients were randomized 1:1 to preprocedural fasting, meaning no solid food for 6 hours and no clear liquids for 2 hours, or no fasting (patients were encouraged to have regular meals). The primary composite end point of hypotension, aspiration pneumonia, hyperglycemia, and hypoglycemia occurred in 19.1% of the fasting group and 2.0% of the no-fasting group, with the analyses confirming noninferiority of no fasting (based on a noninferiority margin of 3% and a likelihood of 99.1%).$^{182}$ Patient satisfaction was significantly greater in the no-fasting group. Together with data from other similar studies,$^{183,184}$ there is an increasing movement toward removing NPO requirements for diagnostic cardiac catheterization cases and routine device procedures, which has the potential to decrease in-hospital malnutri- tion development.
Cardiac Surgery
Patients classified as malnourished by GLIM criteria have poorer surgical outcomes, with a complication rate of 65.9% compared with 49.7% for those not classified as malnourished.$^{185}$ According to Enhanced Recovery After Surgery recommendations,$^{186}$ perioperative nutritional optimization is key to expediting recovery. This includes preoperative malnutrition assessment with validated tools (Table 3) to predict postoperative complications$^{187}$ and clinical, biochemical, and imaging parameters, for example, quadriceps ultrasound or computed tomography, to assess for sarcopenia.$^{188}$ Although not good markers of nutritional status, albumin <3.0 g/dL and prealbumin ≤20 mg/dL have been used as acute-phase markers to trigger nutritional supplementation within 1 week of surgery.$^{186,189-191}$
Minimizing starvation to prevent iatrogenic malnutrition is key preoperatively.$^{192}$ European recommendations have adopted evidence for clear liquids up to 2 hours before and a light meal up to 6 hours before surgery.$^{180,188,193}$ Although preoperative oral carbohydrate loading has been proposed to benefit cardiac function and may improve length of stay, its evidence before cardiac surgery is weak.$^{186,194}$
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During the postoperative period, nutritional support with EN is preferable over PN and should be initiated within 48 hours or within 24 hours if malnutrition present.$^{195}$ It is recommended to start with hypocaloric EN, with 80% of the target protein and caloric goals, considering supplemental PN if necessary.$^{188}$ As with patients with CS, for patients after cardiotomy who remain hemodynamically unstable, requiring vasopressors or mechanical circulatory support, delaying EN may be appropriate given that the risk of intestinal infarction and bacterial translocation with resulting sepsis is elevated.$^{196,197}$ In these cases, delaying EN may be appropriate.$^{198}$ If EN cannot be started by day 7, PN is indicated.
NUTRITIONAL SUPPORT AFTER DISCHARGE AND READMISSION REDUCTION
Several small but randomized studies highlight the importance of nutritional interventions in reducing cardiac readmissions, specifically in patients with HF. The PICNIC (Programa de IntervenCión Nutricional en pacientes hospitalizados por Insuficiencia Cardiaca desnutridos) study recruited patients in Spain with HF and risk of malnutrition. Individualized RDN-led dietary counseling and support reduced the composite of hospital readmissions and mortality, as well as mortality as a secondary end point, and improved quality of life.$^{132}$ The next steps would ideally include a similar protocol for postdischarge patients with HF in the United States, with expansion to patients with other CVDs if effective in reducing HF re-dmissions. Definitive data on malnutrition interventions specifically for patients after myocardial infarction or coronary interventions are not currently available.
GOURMET-HF (Geriatric Out-of-Hospital Randomized Meal Trial in Heart Failure) examined the impact of a tailored DASH diet after HF discharge and found a trend toward improved HF readmissions and mortality,$^{199}$ although this was predominantly a sodium-restriction intervention and not a malnutrition intervention. Medically tailored meals (MTMs) based on the DASH pattern were prepared, packaged for refrigerator storage, and home delivered once weekly. Potassium content was modified from 4500 to 3000 mg/d in patients with estimated glomerular filtration rate <45 mL·min$^{-1}$·1.73 m$^{-2}$, or 45 to 60 mL·min$^{-1}$·1.73 m$^{-2}$ with serum potassium >4.5 mmol/L, or potassium >4.5 mmol/L with potassium-sparing diuretic use. A follow-up study, GOURMET-VA (Geriatric Out-of-Hospital Randomized Meal Trial in Heart Failure: Veterans Affairs; NCT05996328) will enroll a larger cohort to define the efficacy and safety of nutritional support in the postdischarge HF setting.
The concept of MTMs is gaining traction, particularly within the Food Is Medicine movement. MTMs provide patients with meals designed to meet their specific
medical and nutritional needs, particularly for those with chronic conditions such as CVD. Although some general medical programs have reported neutral results for Food Is Medicine interventions,$^{200,201}$ the overall evidence base suggests potential benefits for cardiovascular health and readmission reduction. MTMs can help bridge the gap between inpatient dietary recommendations and practical, daily nutrition after discharge, supporting better health outcomes for patients with CVD. Cardiac rehabilitation offers a prime opportunity to integrate high-quality nutritional counseling into cardiovascular outpatient care. This setting allows comprehensive lifestyle interventions, including dietary education, tailored to the needs of patients with CVD. Effective nutritional counseling during cardiac rehabilitation can enhance patients' dietary habits, support recovery, and prevent future cardiac events. However, achieving these benefits may require additional training for clinicians to ensure that they are equipped to provide evidence-based nutritional advice. Investing in clinician education on nutrition can strengthen the impact of cardiac rehabilitation programs and improve patient outcomes. There are significant potential opportunities to study integrated nutritional support both during hospitalization and early after discharge, leveraging initiatives such as MTMs and comprehensive cardiac rehabilitation to determine the scope to enhance outcomes for patients with CVD.
RDNs AS KEY MEMBERS OF THE CARDIAC CARE TEAM
Every patient admitted to the CICU should undergo comprehensive nutritional assessment, including physical examination and laboratory parameters; evaluation for cardiac cachexia, sarcopenia, and risk of refeeding syndrome; and specific volume and electrolyte goals. Certain nutritional risk scores previously validated in CICU conditions,$^{202}$ including Controlling Nutritional Status, Prognostic Nutritional Index, Geriatric Nutritional Risk Index, Subjective Global Assessment, and modified Nutrition Risk in the Critically III, can provide useful information outlined in Table 2.$^{19}$ This comprehensive and tailored evaluation is best performed by RDNs because they play a pivotal role in identifying and classifying malnutrition; optimizing and individualizing nutritional support,$^{203,204}$ including determination of appropriate micronutrient and macronutrient supplementation; and assessing and adjusting calric, protein, and fluid administration. RDNs also provide key roles in nutrition education, counseling discharge planning for patients and families,$^{205}$ and longitudinal follow-up for dynamic targets. Suggested criteria for identification of inpatients who may benefit from RDN assessment and counseling are provided in Figure 2.
Unfortunately, despite increasing implementation of interdisciplinary teams in the CICU,$^{206,207}$ the RDN role
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CLINUAL STATEMENTS AND EVIDELINES
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![graph TD\n A1[Screening for cardiovascular inpatients at higher risk of malnutrition or cachexia Suggested criteria for RDN inpatient consultation: • BMI <20 or ≥30 kg/m2 or unintentional edema-free weight loss >7.5% in prior 6-12 months • Patients reporting <50% prior nutritional intake or identified as at risk of malnutrition on a nursing-administered screening tool eg, SNAQ, MNA-SF, MST or MUST scores • Diabetes or chronic kidney disease • History of malabsorption or bariatric surgery • Cardiogenic shock or other CICU admission • Consideration for heart transplantation or mechanical circulatory support • Receiving/considered for enteral or parenteral nutrition during the hospitalization • Hospitalized ≥7 days] --> A2[Initial RDN evaluation should include: Medical/surgical, diet, weight and social histories, at least 24-hour food and supplement intake Malnutrition diagnosis is made: The diagnosis, etiology categorization and severity grading is completed as per ASPEN/AND Consensus Characteristics of Adult Malnutrition Initial RDN counseling should include: Heart-healthy diet composition, recommendations on protein and calorie intake goals, consideration of any need for sodium restriction, interventions for specific problems identified including oral dietary supplementation, consideration of enteral or parenteral nutrition for patients meeting these indications]\n A2 --> A3[Treatment of Malnutrition • RDN develops individualized nutrition plan with patient, caregivers, clinicians; may include protein-calorie supplementation for at least 1.1 g/kg/day protein, calories per predictive equation or indirect calorimetry • RDN reassessment q 3–4 days for high-risk and 7 days for moderate-risk inpatients • Consideration of enteral or parenteral nutrition options, as per standard inpatient recommendations • If initial dietary/weight gain goals not met during inpatient reassessment, reconsideration of enteral or parenteral nutrition options]\n A2 --> A4[Treatment of Cachexia • RDN develops individualized nutrition plan with patient, caregivers, clinicians; may include protein-calorie supplementation for at least 1.1 g/kg/day protein and specific weight gain goals • RDN reassessment q 3–7 days for inpatients, or 4–12 weeks for outpatients • If dietary/weight gain goals not met, consideration of appetite stimulants or protein supplementation options • If meeting sarcopenia criteria and physically able, consider referral for graded exercise • Cachexia best addressed by effectively treating underlying medical condition]\n A2 --> A5[Additional Services • RDN, or other health professional with specialist nutrition knowledge, remains a resource to enhance optimal dietary composition • Access to postdischarge medically tailored meals if indicated, or services to reduce food insecurity if this is contributory • Ideally, annual nutrition reevaluation as above]\n](1/parseimages/figure0c44ea936304414b9d7f1378f5bf3426_0_3.png) Figure 2. Practical guidance for the screening, evaluation, and treatment of cardiovascular in patients at risk of malnutrition or cachexia.
ASPEN/AND indicates American Society for Parenteral and Enteral Nutrition/Academy of Nutrition and Dietetics; BMI, body mass index; CICU, cardiovascular intensive care unit; MNA-SF, Mini Nutritional Assessment Short Form; MST, Malnutrition Screening Tool; MUST, Malnutrition Universal Screening Tool; RDN, Registered Dietitian Nutritionist; and SNAQ, Short Nutritional Assessment Questionnaire. Adapted from Vest et al.$^{111}$ Copyright © 2019, with permission from Elsevier Inc.
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does not always receive prioritization and may remain underused. To date, no studies have evaluated the impact of RDNs on outcomes in the CICU,$^{202}$ and research in this area should be prioritized. Furthermore, the availability of RDNs with expertise in acute cardiovascular conditions is limited, highlighting the need to promote training and staffing models to enhance the RDN workforce and to support their role educating and working alongside clinical teams managing patients with acute cardiac care needs.
UNANSWERED QUESTIONS IN THE MANAGEMENT OF MALNUTRITION AND CACHEXIA IN PATIENTS WITH CARDIAC CONDITIONS
Multiple knowledge gaps exist and should serve as research priorities for defining best practices for preventing,
screening for, and managing malnutrition and unintentional weight loss in hospitalized adults with CVD (Figure 3).$^{211}$ª First, there is a lack of consensus on which validated malnutrition tool is most appropriate for cardiac inpatients, both for malnutrition detection and for prediction of mortality and readmission, with recognition that performance may differ by disease state and severity of illness (Table 2).
Once hospitalized patients with or at risk of malnutrition are identified, the optimal strategy for assessing body composition to diagnose cachexia and sarcopenia is unknown. Choice of diagnostic tool is based largely on cost, availability, influence of volume status, ease of use, and overall body habitus.$^{212}$,$^{213}$ Although DXA is a rapid, inexpensive method to evaluate for sarcopenia, it is ionizing and nonportable, limiting accessibility for inpatients.$^{90}$,$^{212}$,$^{214}$ Similarly, bioelectrical impedance analysis and bioelectrical impedance spectroscopy are low-cost,
![graph TD\n A1[Randomized Controlled Trials/Research] --> A2[Mechanistic]\n A1 --> A3[Screening and Diagnosis]\n A1 --> A4[Nutritional Interventions]\n A1 --> A5[Pharmacologic Interventions]\n A2 --> A6[Do mechanisms of malnutrition differ by the type and acuity of the CV condition(s)?\nHow do we manage the obesity/cachexia paradox in patients with HF?\nWhat role do environmental, genomic, epigenomic, and microbiome variations play in the development and management of malnutrition and cachexia?]\n A3 --> A7[Are there standard definitions for malnutrition, cachexia, and sarcopenia?\nWhat is the best approach to identify patients with or at risk for malnutrition and cachexia? Which screening tool(s) is best? Can technology(decision support, AI) help?\nWhat diagnostic method(s) are best for measuring body composition to diagnose cachexia and sarcopenia?\nHave the screening and diagnostic methods been validated in hospitalized and critically ill patients with CV disease?]\n A4 --> A8[What is the best method for assessing nutritional needs for hospitalized patients with CV disease?\nShould interventions focus on specific deficiencies of micronutrients, generalized nutrition plans(eg, focused on macronutrients, enteral/parenteral nutrition), or“diets”(eg, DASH/DASH-SRD, Mediterranean)?\nShould targeted caloric goals differ based on the type, acuity, and severity of the CV condition(s)?\nWhat are the risks/benefits of parenteral nutrition in patients with CV disease unable to achieve enteral nutrition targets?\nDoes or will precision nutrition have a role in managing malnutrition and cachexia in patients with CV disease?\nIs rehabilitation effective in preventing malnutrition and cachexia in patients with CV disease?]\n A5 --> A9[Do specific therapies(eg, medications, devices, transplantation) increase or mitigate nutritional risk?\nWhat role do currently approved medications(eg, anabolic steroids, appetite stimulants, anti-inflammatory drugs, antioxidants) have in the management of malnutrition and cachexia in patients with CV disease?\nWhat investigational drugs or drug targets are promising for the management of malnutrition and cachexia in patients with CV disease?]\n](1/parseimages/figuree0a48b2ace424ed3b9a3f90b4ae3899f_0_7.png) Al indicates artificial intelligence; CV, cardiovascular; HF, heart failure; DASH, Dietary Approaches to Stop Hypertension; and SRD, sodium-restricted diet. Data from Laimer et al,$^{208}$ Gullett et al,$^{209}$ Johnson et al,$^{210}$ Vest et al,$^{111}$ Kadakia et al,$^{211}$ Ionze et al,$^{90}$ and Watanabe and Miyagoe-Suzuki.$^{211}$a
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|FDA-approved medications||||| |---|---|---|---|---| |Drug class/drug|Mechanism of action|Outcomes|Adverse effects|Comments| |Appetite stimulants:||||| |Megestrol|Unknown|Increase weight gain and fat mass, no increase in LBM|Hypertension, thromboembolism at high doses, edema, palpitations|Not studied in patients with CVD; dose-related effects (range 160-800 mg daily)| |Mirtazapine|May be related to increased leptin concentrations|Increase weight gain and fat mass|Drowsiness, dry mouth, constipation, dizziness, edema|7.5-30 mg at bedtime; drowsiness and dizziness may limit use in older adults| |Cannabinoids|May stimulate orosensory reward pathway|Inconsistent results on appetite, weight gain in cancer-related cachexia|Drowsiness, tachycardia, hypotension, confusion|Dronabinol dose: 2.5-5 mg twice daily; cannabis use may reduce heart transplantation candidacy| |Antiinflammatory:||||| |Omega-3 fatty acids|Decrease inflammation, proinflammatory factors, and proteolytic pathways; increase appetite|Inconclusive|Diarrhea, nausea, belching|1-4 g daily; effects likely dependent on dose, timing, duration, and formulation| |Anabolic agents:||||| |Growth hormone|Stimulates production of IGF-1, leading to protein synthesis and muscle growth|Consistent anabolic effects in patients with malnutrition and catabolic states|Sodium retention, edema|Inconsistent efficacy in patients with HF| |Steroid derivatives:|Bind to cytosolic receptors, increase protein synthesis and muscle mass|Increase weight gain, LBM, and muscle strength; testosterone did not improve exercise capacity or QOL in patients with HF|Fluid retention, increased liver enzymes, decreased HDL-C, drug interaction with warfarin|Testosterone has limited benefit in HF; oxandrolone FDA approval was withdrawn; nandrolone no longer marketed in the United States| |(androlone)|(androlone)|||| |(androlone)|(androlone)|||| |(androlone)|(androlone)|||| |(androlone)|(androlone)|||| |(androlone)|(androlone)|||| |(androlone)|(androlone)|||| |(androlone)|(androlone)|||| |(androlone)|(androlone)|||| |(androlone)|(androlone)|||| |(androlone)|(androlone)|||| |(androlone)|(androlone)|||| |(androlone)|(androlone)|||| |(androlone)|(androlone)|||| |(androlone)|(androlone)|||| |(androlone)|(androlone)|||| |(androlone)|(androlone)|||<start>4<conten|
ActRIIB indicates activin receptor IIB; CVD, cardiovascular disease; EMA, European Medicines Agency; FDA, US Food and Drug Administration; GDF, growth differentiation factor; GFRAL, glial cell-derived neurotrophic factor family receptor α-like; GHD, growth hormone deficiency; HDL-C, high-density lipoprotein cholesterol; HF, heart failure; IGF, insulin-like growth factor; LBM, lean body mass; and OOL, quality of life.
CLIMAL STATEMENTS AND EDEUINES
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|1. Routinely assess nutritional risk in all cardiovascular inpatients.| |---| |Malnutrition is prevalent yet underrecognized in cardiovascular disease, especially in critical care. Use of validated screening tools to detect higher-risk patients should be followed by the use of the Academy of Nutrition and Dietetics and ASPEN diagnostic criteria.| |2. Avoid underfeeding in the CICU. Initiate EN within 24 to 48 of CICU admission for most patients. Hypocor- loric, high-protein feeds can be started in those on low-dose vasopressors, with close hemodynamic monitoring to avoid gut ischemia.| |3. Delay nutrition when hemodynamically unstable. In patients requiring high-dose vasopressors or MCS, delay EN under car- dovascularly stabilizing to reduce the risk of intestinal ischemia. Use PN by day 7 if the enteral route remains contraindicated.| |4. Protein intake requirements are nuanced and require ongoing research. Protein intake goals of 1–12 g·kg$^{-1}$·d$^{-1}$ may be appropriate for patients with cardiac cachexia, and current society guidance for critically ill adults favor the 1.2–2.0 g·kg$^{-1}$·d$^{-1}$ range; studies of higher protein intake >2.0 g·kg$^{-1}$·d$^{-1}$ have not proved beneficial.| |5. Reassess traditional fasting before cardiac procedures. Fasting before elective procedures such as routine cardiac catheterization or device implantation may be unnecessary and could promote malnutrition. It may be appropriate to allow clear liquids up to 2 h and light meals up to 6 h before some surgical procedures.| |6. Integrate nutritional strategies in cardiac surgery pathways. Assess and optimize nutrition preoperatively and consider the use of an Enhanced Recovery After Surgery program pathway. Postoperatively, start enteral nutrition early and consider supplemental parental nutrition if en- teral feeding is not feasible within 7 d.| |7. Address malnutrition to reduce readmissions, especially in HF. Nutritional interventions (eg, tailored diets; RDN counseling) can reduce hospital readmissions and mortality in HF. Studies such as PICNIC and GOURMET-HF highlight the potential impact of individualized dietary sup- port after discharge.| |8. Consider MTMs at discharge. MTMs, aligned with the Food Is Medicine model, offer a scalable interven- tion to support dietary adherence and to reduce cardiovascular readmis- ions after discharge and should focus on accessibility and cultural accept- ability of high-quality foods.| |9. Provide cardiac rehabilitation with nutrition counselling. Cardiac rehabilitation is an underused platform for delivering high-impact dietary education. Embedding RDNs in rehabilitation programs can improve patient adherence to heart-healthy diets and support long-term secondary prevention.| |10. Strengthen the role of RDNs in cardiovascular care. RDNs are essential to providing individualized, evidence-based nutrition therapy across the cardiovascular continuum, from CICU to discharge plan- ning. Their role remains underused, and the workforce remains understaffed. Clinicians and institutions should advocate for greater integration and trin- ing of RDNs in cardiovascular-specific care.| |ASPEN indicates American Society for Parenteral and Enteral Nutrition; CICU, cardiac intensive care unit; EN, enteral nutrition; GOURMET-HF, Geriatric Out- of-Hospital Randomized Meal Trial in Heart Failure; HF, heart failure; MCS, me- chanical circulatory support; MTM, medially tailored meal; PICNIC, Programa de IntervenCión Nutricional en pacientes hospitalizados por Insuficiencia Cardiaca desnutridos; PN, parenteral nutrition; and RDN, registered dietitian nutritionist.| |nonionizing alternatives to DXA. Bioelectrical imped- ance analysis of fat mass shows variability at body com- position extremes for patients with HF compared with|
DXA,$^{215}$ but skeletal muscle mass correlates with absolute peak $Vo_2$ in patients with HF with reduced ejection fraction and obesity.$^{88}$ The use of ultrasound to directly measure skeletal muscle thickness is attractive because it is portable and nonionizing and can be repeated over time. However, ultrasound lacks standardized protocols and thresholds and is operator dependent.$^{216}$ Deuterated creatine dilution is an evolving tool that assesses total body muscle mass by measuring total body creatine pool size, which may be more precise at predicting mortality than DXA.$^{217}$ However, deuterated creatine has not been validated in patients with CVD and is not yet available for routine clinical practice.$^{217,218}$
Unanswered mechanistic questions contribute to uncertainties about the optimal assessment strategies and treatment modalities for malnutrition and cachexia in patients with CVD and warrant further investigation.
Can treatment of underlying CVD reverse cachexia? In patients with HF, this may be possible by improving neurohormonal derangements through guideline-directed medical therapy, implantable devices, and heart transplantation.$^{90}$ There may also be an opportunity for emerging cancer cachexia therapies such as growth differentiation factor-15 inhibition in cardiac cachexia.$^{219}$
How do obesity, weight loss, and body composition affect outcomes for patients with HF? Obesity is a known risk factor for incident HF, yet moderately elevated BMIs may be associated with favorable outcomes in patients with HF (the "obesity paradox") likely as a result of unintentional cachexia-related weight loss in patients with lower BMIs.$^{19,111}$ A similar concern arises with the use of antiobesity medications for patients with HF, in whom lean mass loss may exacerbate functional limitations.$^{220}$
How do environmental factors and individual differences influence the development of malnutrition and response to dietary interventions in patients with CVD? In lieu of universal dietary interventions, precision nutrition may incorporate environmental, genomic, epigenomic, and microphone variations to predict response to diets and to customize dietary interventions in malnourished and cachectic patients with CVD.$^{221}$
High-quality nutritional evidence in acutely and critically ill patients with CVD is currently inadequate and can be challenging to obtain. Because studies of nutritional and activity-based interventions may not attract industry funding, engagement and strategic partnerships from community-based organizations and philanthropic foundations may be more appropriate.$^{105,222,223}$ Enhancing research-focused collaborations with RDNs is crucial, as demonstrated by the EFFORT and PICNIC studies.$^{104,132}$ Although several USD and Drug Administration-approved and investigational medications have been studied to prevent and manage malnutrition and cachexia, their use is largely off-label, and little is known about the safety and efficacy in patients with CVD (Table 4).
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CLUNIAL STATEMENTS AND EUDIENCES
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CONCLUSIONS
Despite multiple areas of incomplete knowledge in the diagnosis and management of malnutrition and cachexia among inpatients with cardiovascular conditions, several principles are now well established (Table 5). The prevalence of malnutrition lies between 20% and 60% in this population, with risk factors including age, comorbidities, metabolic demands, and inflammation and health care factors such as inpatient food choices and NPO times. The GLIM criteria are the cornerstone of malnutrition diagnosis. For stable inpatients, a personalized nutrition plan for patients at risk of malnutrition may improve survival, and the provision of culturally acceptable, nourishing hospital food should be a patient safety goal. For critically ill patients, the risks of undernutrition are high. EN initiation is recommended by 48 hours of admission, provided that any pressor requirement is trending down and end-organ perfusion is sufficient; for patients who do not meet these goals by day 7, PN should be initiated. Although protein goals of 1 to 1.2 g·kg⁻$^{1}$·d⁻$^{1}$ may be appropriate for patients with chronic cardiovascular conditions associated with wasting, higher protein intake targets in the region of >2.0 g·kg⁻$^{1}$·d⁻$^{1}$ have not proved beneficial in patients with MV. Clinical trial data now support the removal of NPO requirements before cardiac catheterization and electronic device implantation procedures under conscious sedation. Increased awareness and education surrounding the risk of malnutrition and practical steps that can be taken to optimize nutritional health will be of benefit to the diverse
populations of patients with CVD admitted to hospital for acute decompensations of their cardiac conditions.
ARTICLE INFORMATION
The American Heart Association makes every effort to avoid any actual or potential conflicts of interest that may arise as a result of an outside relationship or a personal, professional, or business interest of a member of the writing panel. Specifically, all members of the writing group are required to complete and submit a Disclosure Questionnaire showing all such relationships that might be perceived as real or potential conflicts of interest.
This statement was approved by the American Heart Association Science Advisory and Coordinating Committee on October 27, 2025, and the American Heart Association Executive Committee on December 8, 2025. A copy of the document is available at https://professional.heart.org/state-ments by using either "Search for Guidelines & Statements" or the "Browse by Topic" area. To purchase additional reprints, call 215-356-2721 or email Meredith.Edelman@wolterskuwer.com
The American Heart Association requests that this document be cited as follows: Vest AR, DiDomenico RJ, Lichtenstein L, Slater T, Ekpo E, Damluji AA, Bohula E, Alviar CL; on behalf of the American Heart Association Acute Cardiac Care and General Cardiology Committee of the Council on Clinical Cardiology; and Council on Cardiovascular and Stroke Nursing. Malnutrition and cachexia in inpatients with acute cardiac conditions: a scientific statement from the American Heart Association. Circulation. 2026;153:e······...e····... doi: 10.1161/CIR.000000000001405
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Disclosures
Writing Group Disclosures
|Writing group member|Employment|Research grant|Other research support|Speakers' bureau/ honoraria|Expert witness|Ownership interest|Consultant/ advisory board|Other| |---|---|---|---|---|---|---|---|---| |Amanda R Vest|Cleveland Clinic|National Heart, Lung, and Blood Institute (grant R01HL167113); National Center for Advancing Translational Sciences (grant RC2TR004377)|None|None|None|None|None|None| |Carlos L. Alviar|New York University|Baxter Medical*|None|None|None|None|Zoll†; JNJ Medtech*|None| |Erin Bohula|Brigham and Women's Hospital and Harvard Medical School|None|Novo Nordisk†|None|None|None|Novo Nordisk†|None| |Abdulla A. Damluji|Johns Hopkins Medicine Inova Center of Outcomes Research|None|None|None|None|None|None|None|
(Continued)
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Writing Group Disclosures Continued
|Writing group member|Employment|Research grant|Other research support|Speakers' bureau/ honoraria|Expert witness|Ownership interest|Consultant/ advisory board|Other| |---|---|---|---|---|---|---|---|---| |Robert J. DiDomenico|University of Illinois at Chicago|Society of Critical Care Medicine Carolinas and Virginias Chapter (coinvestigator on a grant surveying pharmacists regarding the use of digoxin in patients receiving continuous renal replacement therapy)*; Consortium of Academic and Research Libraries in Illinois|Support for Creation of Open Educational Resources (c/o Fund for the Improvement of Postsecondary Education) (coinvestigator on grant to support development of an open educational resource book on fundamental pharmacology for nursing students)*; Institute for Clinical and Economic Review (coinvestigator on a grant to conduct a cost-effectiveness analysis of new therapies to treat amyloid transthyretin cardio-myopathy)*; Cook County Department of Public Health (co-principal investigator on a grant to provide health information and screening services to underrepresented communities in suburban Cook County)†; Agency for Healthcare Research & Quality (unpaid member of the DSMB for grant 1R18HS028787-01A1)*|American College of Clinical Pharmacy (chair, Research Affairs Committee [unpaid])*; American College of Clinical Pharmacy (board of regents member)*|None|None|None|None|None| |Eson Ekpo|Scripps Health|None|None|None|None|None|None|None| |Lily Lichtenstein|Tufts Medical Center|None|None|None|None|None|None|None| |Tammy Slater|Johns Hopkins University School of Nursing|None|None|None|None|None|None|None|
This table represents the relationships of writing group members that may be perceived as actual or reasonably perceived conflicts of interest as reported on the Disclosure Questionnaire, which all members of the writing group are required to complete and submit. A relationship is considered to be "significant" if (a) the person receives $5000 or more during any 12-month period, or 5% or more of the person's gross income; or (b) the person owns 5% or more of the voting stock or share of the entity, or owns $5000 or more of the fair market value of the entity. A relationship is considered to be "modest" if it is less than "significant" under the preceding definition.
*Modest.
†Significant.
Reviewer Disclosures
|Reviewer|Employment|Research grant|Other research support|Speakers' bureau/honoraria|Expert witness|Ownership interest|Consultant/ advisory board|Other| |---|---|---|---|---|---|---|---|---| |Salvatore Carbone|EVMS at Old Dominion University|None|None|None|None|None|None|None| |Elissa Driggin|Columbia University Medical Center/New York-Presbyterian Hospital|None|None|None|None|None|None|None| |Alejandra Gutierrez|University of Minnesota|None|None|None|None|None|None|None| |Onyedika J. Ilonze|Indiana University School of Medicine|None|None|None|None|None|None|None| |Melana Yuzefpolskaya|Columbia University Medical Center|Abbott (Enhanced Nutritional Optimization of Patients Prior to Left Ventricular Assist Device Implantation)*|None|Abbott*|None|None|None|None|
This table represents the relationships of reviewers that may be perceived as actual or reasonably perceived conflicts of interest as reported on the Disclosure Questionnaire, which all reviewers are required to complete and submit. A relationship is considered to be "significant" if (a) the person receives $5000 or more during any 12-month period, or 5% or more of the person's gross income; or (b) the person owns 5% or more of the voting stock or share of the entity, or owns $5000 or more of the fair market value of the entity. A relationship is considered to be "modest" if it is less than "significant" under the preceding definition.
*Modest.
ALMID STATEMENTS JUMID ALMID STATEMENTS
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Malnutrition with Carex and Inpatients With Acute Cardiac Conditions
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American Heart Association.
Circulation
| Population | Prevalence of malnutrition | Malnutrition criteria or tool | Association of malnutrition with mortality | Association of malnutrition with hospitalizations |
|---|---|---|---|---|
| HF (any ejection fraction) | 16%-90% (75%-90% advanced or acutely decompensated HF)$^{9}$ | PNI, CONUT, SNS, NSI, NRS, MNA-SF, NRI, GNRI | MNA-SF scores were the strongest predictors of mortality in HF (HR, 4.32 [95% CI, 2.30-8.11]$^{9}$) | At least moderate malnutrition per CONUT score associated with twice the readmission risk of nonmalnourished $patients^{10}$ |
| HFrEF | $43%^{11}$ | GNRI | Mortality rate is 37% among malnourished patients vs 15% in patients with normal nutritional status (HR, 2.46 [95% CI, 1.55-3.89]; P<0.001)$^{12}$ | Malnutrition associated with HF exacerbation (82% vs 30%; P=0.004)$^{12}$ Malnutrition also associated with longer hospital stays (mean, 15.2 d vs 10.1 d; P<0.001) |
| HFpEF | $40%-63%^{13,14}$ | CONUT, PNI, GNRI | Moderate-severe malnutrition associated with increased risk of cardiovascular death (HR, 2.06 [95% CI, 1.40-3.03]; P<0.001) and all-cause death (HR, 1.79 [95% CI, 1.33-2.42]; P=0.002)$^{15}$ | Moderate-severe malnutrition is associated with an increased risk of heart failure hospitalization (HR, 1.73 [95% CI, 1.29-2.33]; P<0.001)$^{15}$ Malnutrition associated with more frequent readmissions within 30 d (OR, 1.85 [95% CI, 1.10-3.13]; P=0.020) |
| Heart transplantation/LVAD | $60%^{16}$ | NRI | Patients with moderate or severe nutritional risk had an 18% higher likelihood of mortality in the first year after transplantation (HR, 0.82 [95% CI, 0.75-0.89]; P<0.001)$^{16}$ Patients with LVAD with preimplantation cachexia or malnutrition had a significantly higher mortal-ity risk during LVAD support (HR, 1.23 [95% CI, 1.07-1.42]; P=0.005)$^{17}$ | Malnutrition associated with prolonged hospital stays and increased complications (P<0.05)$^{16}$ |
| Acute coronary syndrome (ACS) | $27%-50%^{18-21}$ | CONUT, PNI, GNRI | Malnutrition associated with higher mortality (HR, 2.66 [95% CI, 1.78-3.96]; P=0.004)$^{21}$ | Higher incidence of in-hospital composite adverse outcomes (CS, HF, major bleeding stroke; OR, 1.12 [95% CI, 1.04-1.21], P=0.003) and in-hospital all-cause mortality (OR, 1.41 [95% CI, 1.26-1.58]; P<0.001)$^{22}$ |
| Pediatric and congenital conditions | $31%-66%^{23,24}$ | Digital screening tool, WFA, HFA, WFH, MUAC | Underweight associated with increased odds of mortality (OR, 3.54 [95% CI, 1.62-7.74]; P<0.001)$^{15}$ Stunted growth associated with increased mortality (OR, 3.31 [95% CI, 1.65-6.64]; P<0.001)$^{25}$ | Higher prevalence of undernutrition in children with recent admissions (OR, 1.46 [95% CI, 0.72-2.94]; P=0.001)$^{23}$ Malnutrition associated with longer in-hospital stay (12.0 d [8.0-17.0 d] vs (8.4 d [5.0-12.0 d]; P<0.01)$^{24}$ D [5.0-12.0 d]; P<0.01)$^{24}$ |
| Cardiac arrhythmias | $31%-34%$ in patients with $AF^{26,27}$ | CONUT | Mild malnutrition associated with increased mortality (HR, 1.48 [95% CI, 1.30-1.69]; P<0.001) Moderate-severe malnutrition associated with further increased mortality (HR, 2.45 [95% CI, 1.97-3.05]; P<0.001)$^{26}$ | Malnutrition associated with higher rates of ischemic stroke/TIA and major bleeding in patients with AF (HR, 2.25 [95% CI, 1.11-4.56]; P=0.02)$^{28}$ |
| Other cardiac surgeries | $18%-20%^{29-31}$ | MUST, GLIM, PA | Malnutrition found to be an independent risk factor for survival in postoperative patients (HR, 2.34 [95% CI, 1.50-3.64]; P<0.001)$^{31}$ | Malnutrition associated with a tendency toward prolonged hospitalization (>14 d) in 50.8% vs 37.8%; P=0.063$^{31}$ Increased postoperative infectious complications and longer ICU stays$^{32}$ |
| Screening tool | Intended use | Scoring | Components | Components | Components | Components | Components | Components | Use in cardiovascular populations | Limitations | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Screening tool | Intended use | Scoring | Components | Components | Components | Components | Components | Components | Cardiovas- cular pop- ulations studied | Clinical outcomes assessed in cardio- vascular popa- lations | |
| Nutritional status | Nutritional status | Nutritional status | Nutritional status | Nutritional status | Nutritional status | Nutritional status | Nutritional status | Nutritional status | Nutritional status | Nutritional status | |
| CO-NUT37 | Hospit- talized patients, often used in oncology population | 0-9; 0-1=nor- mal nutritional status, higher scores indicate higher risk for malnutrition | Albumin, lympho- cytes, TC | ADHF38 ACS21,40 CCD,40 HF38 PAD,41 | Mortality, MACEs, stroke, clin- ical events, limb events, complica- ations, am- putation | Biomarkers used may be abnormal due to concomi- tant disease or disease- related inflam- mation. | |||||
| GNRI42 | Older adults, validated for patients with CVD | GNRI=(albumin g/L/5)×100+ (current weight/ IBW); higher scores indicate lower malnutri- tion risk | X | Albumin | ADHF38 ACS21,40 PAD,41 CCD,40 HF38 | Mortality, ACS, MACEs, stroke, limb events, amputation, amputation, complica- latrom tion Association | Use of body weight or weight loss may be influ enced by vol- ume overload; biomarker may be ab- normal due to concomitant disease or disease- related inflammation; sensitivity and specificity vary.43 | ||||
| MNA-SF44 | Older adults, highly validated particularly in patients >65 y of age and with HF | 0-30, higher scores indicate better nutritional status | Dietary intake, weight loss, comorbid conditions, symptoms | X | ACS21,40 cardiol- ogy inpa- tients,45 HF38 PAD,41 | Mortal- ity, ICU stay, LOS, hospital re- admission, amputation | Applies only to patients >65 y of age; low specific- ity,46 use of body weight or weight loss may be in- hold.46 | ||||
| MST48 | Adults, hospital- ized and outpatient; excludes older adults | 0-5; each ques- tion is given a weighted score, scores added together; higher scores indicate higher risk | Weight loss, ap- petite | ACS21 cardiology inpa- patients,45 HF38 PAD,41 | Mortality, complica- ations, ICU stay, LOS, hospital re- admission | Use of body weight or weight loss may be in- fluenced by volume over- load. | |||||
| (Continued) | |||||||||||
| Screening tool | Intended use | Scoring | Components | Components | Components | Components | Components | Components | Age | Medical history | Physical examination (anthropometrics, muscle wasting, muscle function, ascites, general assessment) |
| mNU- $TRIC^{49}$ | Adults, critically ill hospitalized patients | 0-9, points assigned for age, APACHE II, SOFA, number of comorbidities, ICU LOS, and IL-6 level; higher scores indicate higher risk, >4=high nutrition risk | X | Comorbid conditions | IL-6 | Pre-ICU LOS | APACHE II, SOFA | Cardiac surgery$^{50}$ | Mortality | Biomarker may be ab- normal due to concomitant disease or disease- related inflam- mation. | |
| $MUST^{51}$ | Adults, hospitalized and outpatient | Combined scores from each category; assigned low, medium, or high risk | Dietary in-take, weight loss | X | X | HF38 cardi- ology inpa- tients45 | Mortality, ICU stay, LOS, hos- pital read- mission | Use of body weight or weight or weight loss may be influenced by volume over- load. | |||
| $NRS^{52}$ | Hospitalized patients, particularly critically ill; preferred by ESPEN | 0-3, combined with disease severity and age, higher score indi-cates higher risk for malnutrition and indication for starting nutrition support | X | Dietary in-take, weight loss | X | X (APACHE II for ICU patient) $^{55}$ | ACS2140 ADHF38 cardiol- ology inpa- tients,45 HF38 | American Mortality, AKI, ICU stay, LOS, hospital re- admission | Use of body weight or weight loss may be influenced by volume overload; gen- eralizability is limited.47 | ||
| $PNI^{53}$ | Mainly in oncology patients | Higher scores in-dicate better nu-trition status and lower systemic inflammation | Albumin, lympho- cytes | ADHF38 ACS2140 HF38 CCD40 PAD41 | Mortality, MACEs, amputation | Biomarkers used may be abnormal due to concomi- ation disease- or disease- related inflam- mation. | |||||
| $SGA^{54}$ | Children and adults, hospitalized and outpatient; validated in critically ill | Categorized as A-C: A=mild, B=moderate, C=severe | Dietary intake, weight loss, symptoms | X | Albumin, lympho- cytes, transferrin | ADHF38 cardiol- ology inpa- tients,45 HF38 | Mortality, ICU stay, LOS, hos- pital read- mission | Use of body weight or weight loss may be influ- enced by vol- ume overload; biomarkers used may be abnormal due to concomi- ation disease or disease- related inflam- mation; it is a subjective as- sessment of nutritional sta- us with high potential for interobserver variation. | |||
| Screening tool | Intended use | Scoring | Components | Components | Components | Components | Components | Components | Age | Medical history | Physical examination (anthropometrics, muscle wasting, muscle function, ascites, general assessment) |
| $ SNAQ^{55} $ | Adults, includ- ing older adults, hosp-italized, outpatient, and com- munity | 0-5, higher scores indicate higher risk for malnutrition; 0-1 no intervention, 2 moderate malnutrition, ≥3 severely malnour- ished | Dietary intake (sup- plements, tube feeds), weight loss, appetite | Cardiology $ inpatients^{45} $ | Mortality, ICU stay, LOS, hos- pital read- mission | Use of body weight or weight loss may be in- fluenced by volume over- load. | |||||
| $ TCB^{56} $ | Adults with CAD | Serum triglyc- erides, serum total cholesterol, and body weight are multiplied together to equal score | X | TC, triglycer- ides | Body weight | $ {ACS}^{21} $ $ {CCD}^{56} $ | Mortality, MACEs | Use of body weight may be influenced by volume overload; biomarkers used may be abnormal due to concomi- tant disease or disease-related inflam- mation. | |||
| Cachexia/sarcopenia | Cachexia/sarcopenia | Cachexia/sarcopenia | Cachexia/sarcopenia | Cachexia/sarcopenia | Cachexia/sarcopenia | Cachexia/sarcopenia | Cachexia/sarcopenia | Cachexia/sarcopenia | Cachexia/sarcopenia | Cachexia/sarcopenia | |
| CASCO, mini- CAS- $ {CO}^{57} $ | Adults with cancer | Score 0-100, <25=mild cachexia, 26-50=moder- ate cachexia, 51-75=severe, 76-100=ter- minal | Dietary intake, physical activity, im- munosup- pression | X | Albumin, lympho- cytes, CRP, he- moglobin | QOL | HF | LOS, hospitaliza- tions | CASCO: nu- merous mea- surements and ques- tionnaires; mini-CASCO not studied in cardiol- ogy patients; assessing physical activ- ity challenge ing in some hospitalized patients | ||
| $ {MSR}^{58} $ | Community-dwelling elderly adults | 7 questions with scored answers, higher scores indicate more robust, scores <30=high risk for sarcopenia | X | Dietary intake (pro- tein and dairy con- sumption, number of meals per day), weight loss, physical activity, hospitaliza- tions | $ {ADHF}^{58} $ | Patients with HF: overlap between chronic sar-copenia and ADHF, symp- tom assess- ment should be done in compensated HF; assessing physical activity challenge ing in some hospitalized patients |
| Screening tool | Intended use | Scoring | Components | Components | Components | Components | Components | Use in cardiovascular populations | Limitations | |
|---|---|---|---|---|---|---|---|---|---|---|
| Screening tool | Intended use | Scoring | Scoring | Age | Medical history | Physical examination (anthropometrics, muscle wasting, muscle function, ascites, general assessment) | Laboratories | Other | Acuity/ severity of illness | Cardiovascular populations studied |
| SARC-F59 | Late middle-aged to older adults | 5 questions with scaled answers, score of 0-10: 0=no difficulty to 2=a lot of difficulty, uses aids or unable to perform; ≥4=symp-tomatic and 0-3=healthy | Strength, walking assistance, rising from chair, climbing stairs, falls | ADHF59 cardiol-ogy inpa-tients60.61 | Mortal-ity, LOS, hospital re-admission, QOL | |||||
| Sarco-penia $index^{63}$ | Critically ill adults | Calculated as (SCr/cystatin C)×100, or the ratio of Cr and cystatin C-de-rived eGFR, or the product of Cr multiplied by cystatin C eGFR44: low indicates lower muscle mass | SCr, cystatin C, eGFR | ACS 65 CCD, 68 hypertension 67 | MACEs, stroke, ventricular ar-rhythmias and pending validation in cardiovascular populations |
| Malnutrition in the context of acute illness or injury | Malnutrition in the context of chronic illness | Malnutrition in context of social/environmental circumstances (starvation) | ||||
|---|---|---|---|---|---|---|
| Moderate: protein-calorie malnutrition (E44.0) | Severe protein-calorie malnutrition (E43) | Moderate protein-calorie malnutrition (E44.0) | Severe protein-calorie malnutrition (E43) | Moderate protein-calorie malnutrition (E43) | Moderate protein-calorie malnutrition (E44.0) | |
| Protein-calorie malnutrition can occur at any BMI | ||||||
| Clinical characteristics: include all that apply | ||||||
| Energy intake: The clinician may obtain or review the food and nutrition history, estimate optimum energy needs, compare them with estimates of energy consumed, and report inadequate intake as a percentage of estimated energy requirements over time | <75% of estimated energy requirement for >7 d | ≤50% of estimated energy requirement for ≥5 d | <75% of estimated energy requirement for ≥1 mo | <75% of estimated energy requirement for ≥1 mo | <75% of estimated energy requirement for ≥3 mo | <50% of estimated energy requirement for ≥1 mo |
| Weight loss: | % Time | % Time | % Time | % Time | % Time | % |
| Evaluate weight loss in light of other clinical findings, including hydration status. Weight change over time is reported as a percentage of weight lost (or weight change) from baseline. Equation: original weight-current weight/original weight $100=%$ weight change | 1-2 1 wk | >2 1 wk | 5 1 mo | >5 1 mo | >5 1 mo | >5 1 mo |
| Evaluate weight loss in light of other clinical findings, including hydration status. Weight change over time is reported as a percentage of weight lost (or weight change) from baseline. Equation: original weight-current weight/original weight $100=%$ weight change | 5 1 mo | >5 1 mo | 7.5 3 mo | >7.5 3 mo | >7.5 3 mo | >7.5 3 mo |
| Evaluate weight loss in light of other clinical findings, including hydration status. Weight change over time is reported as a percentage of weight lost (or weight change) from baseline. Equation: original weight-current weight/original weight $100=%$ weight change | 7.5 3 mo | >7.5 3 mo | 10 6 mo | >10 6 mo | >10 6 mo | >10 6 mo |
| Muscle mass-physical assessment (all noted): | Mild depletion | Moderate depletion | Mild depletion | Severe depletion | Mild depletion | Severe depletion |
| Muscle loss (eg, wasting of the temples (temporalis muscle), clavicles (pectoralis and deltoids), shoulders (deltoids), interosseous muscles, scapula (latissimus dorsi, trapezius, deltoids), thigh (quadriceps), and calf (gastrocnemius) | Mild depletion | Moderate depletion | Mild depletion | Severe depletion | Mild depletion | Severe depletion |
| Body fat-physical assessment (all noted): | Mild depletion | Moderate depletion | Mild depletion | Severe depletion | Mild depletion | Severe depletion |
| Loss of subcutaneous fat (eg, orbital, triceps, overlying ribs) | ||||||
| Fluid accumulation-physical assessment: | Mild | Moderate-severe | Mild | Severe | Mild | Severe |
| Generalized or localized fluid accumulation evident on examination (extremities, vulvar/scotal, or ascites) | ||||||
| Functional assessment: Handgrip strength: Consult normative standards supplied by the manufacturer of the measurement device | NA | Measurably reduced | NA | Measurably reduced | NA | Measurably reduced |
| FDA-approved medications | ||||
|---|---|---|---|---|
| Drug class/drug | Mechanism of action | Outcomes | Adverse effects | Comments |
| Appetite stimulants: | ||||
| Megestrol | Unknown | Increase weight gain and fat mass, no increase in LBM | Hypertension, thromboembolism at high doses, edema, palpitations | Not studied in patients with CVD; dose-related effects (range 160-800 mg daily) |
| Mirtazapine | May be related to increased leptin concentrations | Increase weight gain and fat mass | Drowsiness, dry mouth, constipation, dizziness, edema | 7.5-30 mg at bedtime; drowsiness and dizziness may limit use in older adults |
| Cannabinoids | May stimulate orosensory reward pathway | Inconsistent results on appetite, weight gain in cancer-related cachexia | Drowsiness, tachycardia, hypotension, confusion | Dronabinol dose: 2.5-5 mg twice daily; cannabis use may reduce heart transplantation candidacy |
| Antiinflammatory: | ||||
| Omega-3 fatty acids | Decrease inflammation, proinflammatory factors, and proteolytic pathways; increase appetite | Inconclusive | Diarrhea, nausea, belching | 1-4 g daily; effects likely dependent on dose, timing, duration, and formulation |
| Anabolic agents: | ||||
| Growth hormone | Stimulates production of IGF-1, leading to protein synthesis and muscle growth | Consistent anabolic effects in patients with malnutrition and catabolic states | Sodium retention, edema | Inconsistent efficacy in patients with HF |
| Steroid derivatives: | Bind to cytosolic receptors, increase protein synthesis and muscle mass | Increase weight gain, LBM, and muscle strength; testosterone did not improve exercise capacity or QOL in patients with HF | Fluid retention, increased liver enzymes, decreased HDL-C, drug interaction with warfarin | Testosterone has limited benefit in HF; oxandrolone FDA approval was withdrawn; nandrolone no longer marketed in the United States |
| (androlone) | (androlone) | |||
| (androlone) | (androlone) | |||
| (androlone) | (androlone) | |||
| (androlone) | (androlone) | |||
| (androlone) | (androlone) | |||
| (androlone) | (androlone) | |||
| (androlone) | (androlone) | |||
| (androlone) | (androlone) | |||
| (androlone) | (androlone) | |||
| (androlone) | (androlone) | |||
| (androlone) | (androlone) | |||
| (androlone) | (androlone) | |||
| (androlone) | (androlone) | |||
| (androlone) | (androlone) | |||
| (androlone) | (androlone) | |||
| (androlone) | (androlone) | <start>4<conten |
| 1. Routinely assess nutritional risk in all cardiovascular inpatients. |
|---|
| Malnutrition is prevalent yet underrecognized in cardiovascular disease, especially in critical care. Use of validated screening tools to detect higher-risk patients should be followed by the use of the Academy of Nutrition and Dietetics and ASPEN diagnostic criteria. |
| 2. Avoid underfeeding in the CICU. Initiate EN within 24 to 48 of CICU admission for most patients. Hypocor- loric, high-protein feeds can be started in those on low-dose vasopressors, with close hemodynamic monitoring to avoid gut ischemia. |
| 3. Delay nutrition when hemodynamically unstable. In patients requiring high-dose vasopressors or MCS, delay EN under car- dovascularly stabilizing to reduce the risk of intestinal ischemia. Use PN by day 7 if the enteral route remains contraindicated. |
| 4. Protein intake requirements are nuanced and require ongoing research. Protein intake goals of 1–12 g·kg$^{-1}$·d$^{-1}$ may be appropriate for patients with cardiac cachexia, and current society guidance for critically ill adults favor the 1.2–2.0 g·kg$^{-1}$·d$^{-1}$ range; studies of higher protein intake >2.0 g·kg$^{-1}$·d$^{-1}$ have not proved beneficial. |
| 5. Reassess traditional fasting before cardiac procedures. Fasting before elective procedures such as routine cardiac catheterization or device implantation may be unnecessary and could promote malnutrition. It may be appropriate to allow clear liquids up to 2 h and light meals up to 6 h before some surgical procedures. |
| 6. Integrate nutritional strategies in cardiac surgery pathways. Assess and optimize nutrition preoperatively and consider the use of an Enhanced Recovery After Surgery program pathway. Postoperatively, start enteral nutrition early and consider supplemental parental nutrition if en- teral feeding is not feasible within 7 d. |
| 7. Address malnutrition to reduce readmissions, especially in HF. Nutritional interventions (eg, tailored diets; RDN counseling) can reduce hospital readmissions and mortality in HF. Studies such as PICNIC and GOURMET-HF highlight the potential impact of individualized dietary sup- port after discharge. |
| 8. Consider MTMs at discharge. MTMs, aligned with the Food Is Medicine model, offer a scalable interven- tion to support dietary adherence and to reduce cardiovascular readmis- ions after discharge and should focus on accessibility and cultural accept- ability of high-quality foods. |
| 9. Provide cardiac rehabilitation with nutrition counselling. Cardiac rehabilitation is an underused platform for delivering high-impact dietary education. Embedding RDNs in rehabilitation programs can improve patient adherence to heart-healthy diets and support long-term secondary prevention. |
| 10. Strengthen the role of RDNs in cardiovascular care. RDNs are essential to providing individualized, evidence-based nutrition therapy across the cardiovascular continuum, from CICU to discharge plan- ning. Their role remains underused, and the workforce remains understaffed. Clinicians and institutions should advocate for greater integration and trin- ing of RDNs in cardiovascular-specific care. |
| ASPEN indicates American Society for Parenteral and Enteral Nutrition; CICU, cardiac intensive care unit; EN, enteral nutrition; GOURMET-HF, Geriatric Out- of-Hospital Randomized Meal Trial in Heart Failure; HF, heart failure; MCS, me- chanical circulatory support; MTM, medially tailored meal; PICNIC, Programa de IntervenCión Nutricional en pacientes hospitalizados por Insuficiencia Cardiaca desnutridos; PN, parenteral nutrition; and RDN, registered dietitian nutritionist. |
| nonionizing alternatives to DXA. Bioelectrical imped- ance analysis of fat mass shows variability at body com- position extremes for patients with HF compared with |
| Writing group member | Employment | Research grant | Other research support | Speakers' bureau/ honoraria | Expert witness | Ownership interest | Consultant/ advisory board | Other | |
|---|---|---|---|---|---|---|---|---|---|
| Amanda R Vest | Cleveland Clinic | National Heart, Lung, and Blood Institute (grant R01HL167113); National Center for Advancing Translational Sciences (grant RC2TR004377) | None | None | None | None | None | None | |
| Carlos L. Alviar | New York University | Baxter Medical* | None | None | None | None | Zoll†; JNJ Medtech* | None | |
| Erin Bohula | Brigham and Women's Hospital and Harvard Medical School | None | Novo Nordisk† | None | None | None | Novo Nordisk† | None | |
| Abdulla A. Damluji | Johns Hopkins Medicine Inova Center of Outcomes Research | None | None | None | None | None | None | None | |
| Robert J. DiDomenico | University of Illinois at Chicago | Society of Critical Care Medicine Carolinas and Virginias Chapter (coinvestigator on a grant surveying pharmacists regarding the use of digoxin in patients receiving continuous renal replacement therapy)*; Consortium of Academic and Research Libraries in Illinois | Support for Creation of Open Educational Resources (c/o Fund for the Improvement of Postsecondary Education) (coinvestigator on grant to support development of an open educational resource book on fundamental pharmacology for nursing students)*; Institute for Clinical and Economic Review (coinvestigator on a grant to conduct a cost-effectiveness analysis of new therapies to treat amyloid transthyretin cardio-myopathy)*; Cook County Department of Public Health (co-principal investigator on a grant to provide health information and screening services to underrepresented communities in suburban Cook County)†; Agency for Healthcare Research & Quality (unpaid member of the DSMB for grant 1R18HS028787-01A1)* | American College of Clinical Pharmacy (chair, Research Affairs Committee [unpaid])*; American College of Clinical Pharmacy (board of regents member)* | None | None | None | None | None |
| Eson Ekpo | Scripps Health | None | None | None | None | None | None | None | |
| Lily Lichtenstein | Tufts Medical Center | None | None | None | None | None | None | None | |
| Tammy Slater | Johns Hopkins University School of Nursing | None | None | None | None | None | None | None |
| Reviewer | Employment | Research grant | Other research support | Speakers' bureau/honoraria | Expert witness | Ownership interest | Consultant/ advisory board | Other |
|---|---|---|---|---|---|---|---|---|
| Salvatore Carbone | EVMS at Old Dominion University | None | None | None | None | None | None | None |
| Elissa Driggin | Columbia University Medical Center/New York-Presbyterian Hospital | None | None | None | None | None | None | None |
| Alejandra Gutierrez | University of Minnesota | None | None | None | None | None | None | None |
| Onyedika J. Ilonze | Indiana University School of Medicine | None | None | None | None | None | None | None |
| Melana Yuzefpolskaya | Columbia University Medical Center | Abbott (Enhanced Nutritional Optimization of Patients Prior to Left Ventricular Assist Device Implantation)* | None | Abbott* | None | None | None | None |
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